Local attribute reductions for decision tables
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Summary
The concepts of lth decision class lower approximation reduction, lth decide class reduction, and lTh decision class β-reduction for decision tables are proposed, and their corresponding reduction algorithms via discernibility matrices are provided.
- Type
- article
- Published
- 2018-01-01
- Cited by
- 38
- References
- 36
- OpenAlex
- https://openalex.org/W2753804762
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:26775874
Keywords
Reduction (mathematics), Rough set, Decision table, Class (philosophy), Computer science
References
- Compacted decision tables based attribute reduction
- Vehicle Recognition Using Rule Based Methods
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- Dynamic programming approach to optimization of approximate decision rules
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- Approaches to knowledge reductions in inconsistent systems
- Variable-precision dominance-based rough set approach and attribute reduction
- The investigation of the Bayesian rough set model
- Attribute reduction based on evidence theory in incomplete decision systems
- Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients
- Approaches to knowledge reduction based on variable precision rough set model
- Degrees of conditional (in)dependence: A framework for approximate Bayesian networks and examples related to the rough set-based feature selection
- A novel method for attribute reduction of covering decision systems
- Hierarchical cluster ensemble model based on knowledge granulation
- The attribute reductions of three-way concept lattices
Cited by
- Horizontal decomposition of data table for finding one reduct
- Three-way decision perspectives on class-specific attribute reducts
- Three-way class-specific attribute reducts from the information viewpoint
- Decision table in Rough Set as a new chemometric approach for synthesis optimization: Mn-doped ZnS quantum dots as the example
- Lower Assignment Reduction Algorithm for Relation Decision Systems
- Cost-sensitive three-way class-specific attribute reduction
- Local attribute reductions of formal contexts
- Mechanical Product Ecological Design Knowledge Reduction Based on Rough Set
- Min-max attribute-object bireducts: On unifying models of reducts in rough set theory
- Double-Granule Conditional-Entropies Based on Three-Level Granular Structures
- Reduction algorithm based on finding the maximum mutual information in incomplete information systems
- Heuristic Approaches to Attribute Reduction for Generalized Decision Preservation
- Partial reduction algorithms for fuzzy relation systems
- Quantitative three-way class-specific attribute reducts based on region preservations
- A common attribute reduction form for information systems
- Incremental feature selection for dynamic hybrid data using neighborhood rough set
- Attribute Reduction of Coal Mine Fire Incidents Based on Finding Maximum Mutual Information
- Fuzzy entropies for class-specific and classification-based attribute reducts in three-way probabilistic rough set models
- Facial expression description and recognition based on fuzzy semantic concepts
- A weighted complement-entropy system based on tri-level granular structures
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